Towards an ARM based low cost and mobile biomedical device test bed for improved multi-channel pulmonary diagnosis

In this paper, we present our research results towards developing an ARM9 based biomedical device for multi-channel pulmonary diagnosis. There is a vast literature on analysis of pulmonary sounds, and related diagnosis procedures. Most of the reported results are based on using either desktop sized or handheld sized computers. Compared to these, the system proposed in this paper has several advantages, which include being low cost, low power, mobile, and compact. The proposed ARM9 based system has analog and digital subsystems. Analog front end, including filtering stages, overall computer system architecture, and software development procedures are described in detail. To assess the computational capabilities of the system, FFT benchmark tests are done, and performance of the system is analyzed.